Jason J. Guo

43 total papers · 1.2k total citations
23 papers, 377 citations indexed

About

Jason J. Guo is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jason J. Guo has authored 23 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Pharmacology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jason J. Guo's work include Cannabis and Cannabinoid Research (6 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Porphyrin Metabolism and Disorders (2 papers). Jason J. Guo is often cited by papers focused on Cannabis and Cannabinoid Research (6 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Porphyrin Metabolism and Disorders (2 papers). Jason J. Guo collaborates with scholars based in United States, Canada and China. Jason J. Guo's co-authors include Sergiy Tyukhtenko, Steven A. Lopez, Lu Ma, Soonho Kwon, Sanjeev Mukerjee, William A. Goddard, Jingkun Li, Ian Kendrick, Yushan Yan and Nicholas Oliveira and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Scientific Reports.

In The Last Decade

Jason J. Guo

20 papers receiving 372 citations

Hit Papers

Understanding hydrogen el... 2023 2026 2024 2023 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jason J. Guo 119 108 79 76 50 23 377
Liping Ren 68 0.6× 142 1.3× 41 0.5× 16 0.2× 61 1.2× 22 360
Sarah Pilkenton 86 0.7× 52 0.5× 54 0.7× 21 0.3× 80 1.6× 18 418
Silvia Castrignanò 23 0.2× 206 1.9× 104 1.3× 32 0.4× 17 0.3× 23 423
Qian Gao 48 0.4× 90 0.8× 54 0.7× 29 0.4× 147 2.9× 40 385
Liming Wang 59 0.5× 66 0.6× 32 0.4× 80 1.1× 98 2.0× 33 391
Yuan Chen 41 0.3× 144 1.3× 104 1.3× 32 0.4× 255 5.1× 20 414
Yonglan Ding 29 0.2× 121 1.1× 248 3.1× 22 0.3× 49 1.0× 22 376
Xian‐Feng Huang 112 0.9× 40 0.4× 59 0.7× 9 0.1× 132 2.6× 14 344
Ruihuan Zhao 31 0.3× 104 1.0× 59 0.7× 8 0.1× 100 2.0× 26 359
Xinghua Guo 27 0.2× 76 0.7× 33 0.4× 54 0.7× 116 2.3× 27 389

Countries citing papers authored by Jason J. Guo

Since Specialization
Citations

This map shows the geographic impact of Jason J. Guo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jason J. Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason J. Guo more than expected).

Fields of papers citing papers by Jason J. Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason J. Guo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jason J. Guo. The network helps show where Jason J. Guo may publish in the future.

Co-authorship network of co-authors of Jason J. Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jason J. Guo. A scholar is included among the top collaborators of Jason J. Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason J. Guo. Jason J. Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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